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Volumn 38, Issue , 2012, Pages 3391-3398

Identification of language using mel-frequency cepstral coefficients (MFCC)

Author keywords

Gaussian mixture model; Language identification; Mel frequency cepstral coefficient; Spectral features

Indexed keywords


EID: 84881410102     PISSN: 18777058     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.proeng.2012.06.392     Document Type: Conference Paper
Times cited : (63)

References (6)
  • 3
    • 79951780610 scopus 로고    scopus 로고
    • Spoken language identification using hybrid feature extraction methods
    • MARCH
    • Pawan Kumar, Astik Biswas, A.N. Mishra and Mahesh Chandra, "Spoken Language Identification Using Hybrid Feature Extraction Methods", Journal of Telecommunications, vol. 1, Issue 2, MARCH 2010.
    • (2010) Journal of Telecommunications , vol.1 , Issue.2
    • Kumar, P.1    Biswas, A.2    Mishra, A.N.3    Chandra, M.4
  • 5
    • 84901007921 scopus 로고    scopus 로고
    • Speech Technology Research Laboratory, Department of Electrical and Computer Engineering, University of Wollongong
    • A.Samouelian, "Automatic Language Identification Using Inductive Inference", Speech Technology Research Laboratory, Department of Electrical and Computer Engineering, University of Wollongong.
    • Automatic Language Identification Using Inductive Inference
    • Samouelian, A.1
  • 6
    • 0029733178 scopus 로고    scopus 로고
    • Comparison of four approaches to automatic language identification of telephone speech
    • January
    • Marc A. Zissman, "Comparison of Four Approaches to Automatic Language Identification of Telephone Speech", IEEE Transactions on Speech and audio processing, vol. 4, no. 1, January 1996.
    • (1996) IEEE Transactions on Speech and Audio Processing , vol.4 , Issue.1
    • Zissman, M.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.